AI & Machine Learning is poised to unleash the next wave of digital disruption, and organizations can prepare for it by taking up our programs in this field that cover a comprehensive range of topics. The global Machine Learning market is projected to grow from $7.3B in 2020 to $30.6B in 2024, attaining a CAGR of 43%.
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AI & Machine Learning Courses typically range from a few weeks to several months, with fees varying based on program and institution.
Program Name | Duration | Fees |
---|---|---|
Caltech Post Graduate Program In AI And Machine Learning Cohort Starts: 2 Jan, 2024 | 11 Months | $ 3,990 |
Post Graduate Program in AI and Machine Learning Cohort Starts: 8 Jan, 2024 | 11 Months | $ 2,990 |
AI for Decision Making: Business Strategies and Applications Cohort Starts: 10 Jan, 2024 | 3 Months | $ 1,990 |
Artificial Intelligence Engineer | 11 Months | $ 1,490 |
Prof. Benjamin Carrion Schaefer is an Associate Professor in the Department of Electrical and Computer Engineering at UT Dallas. He has experience in computer architecture, digital design, embedded systems, and reconfigurable computing and has published 120+ peer-reviewed publications.
Twitter LinkedInProf. Dinesh Bhatia is the Department Head of the Department of Electrical and Computer Engineering at UT Dallas. Throughout his career, he has engaged in research across various domains, including high-performance computing, healthcare and medical devices, and power and energy systems.
Twitter LinkedInKanad Basu is an Assistant Professor of Electrical and Computer Engineering at UT Dallas. He earned his Ph.D. and MS degrees from the University of Florida. His interests encompass Hardware Security, Cybersecurity, Computer Architecture, VLSI systems, Cybersecurity, and Machine Learning.
Twitter LinkedInKartik Hosanagar is a professor at the Wharton School of the University of Pennsylvania. Professor Hosanagar's research work focuses on the digital economy, in particular internet media, internet marketing, and e-commerce.
Twitter LinkedInMatthew Bidwell's research examines new patterns in work and employment, focusing in particular on the causes and effects of more short-term, market-oriented employment relationships. Professor Bidwell holds a Ph.D. from the MIT Sloan School, an S.M. in Political Science from MIT
Twitter LinkedInMichael R. Roberts is the William H. Lawrence Professor of Finance at the Wharton School of the University of Pennsylvania. Professor Roberts earned his BA in Economics from the University of California at San Diego and Ph.D. in Economics from the University of California at Berkeley.
Twitter LinkedInPeter Cappelli is the George W. Taylor Professor of Management at The Wharton School and Director of Wharton’s Center for Human Resources. He is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA, served as Senior Advisor to the Kingdom of Bahrain.
Twitter LinkedInDr. Rick Hefner serves as the Program Director for Caltech’s CTME, where he develops customized training programs for technology-driven organizations. He has over 40 years of experience in systems development and has served in academic, industrial, and research positions.Â
Twitter LinkedInVenkata N Inukollu earned his Ph.D. in Computer Science from Texas Tech University. He received his Master’s degree in Software Systems from BITS - Pilani, India. He has interests in software engineering and testing in AI and machine learning.
Twitter LinkedInMy learning experience was outstanding. The instructors were industry experts. My favorite feature about the course is the blended learning approach, where one can engage in live classes with the convenience of learning at his own pace. The course curriculum is very well designed and delivered.
The training allowed me to increase my knowledge and acquire new projects. I learned new facts about the subject and broadened my expertise by receiving more information throughout the training, which helped me become more productive at work and improve my work performance.
My overall experience with Simplilearn was extremely positive and enriching. One aspect that stood out to me was the comprehensive curriculum offered by Simplilearn. The course content was well-structured and covered all the essential topics related to my chosen field of study.
The overall experience was outstanding. Since I am a working professional, I enjoy a flexible schedule. The classes were on weekends and did not collide with the working hours. So, it was conducive. The best part is that they take feedback regularly and work on it to improve the learning experience for the students.
I am thrilled to share that I have completed Postgraduate Program in Artificial Intelligence and Machine Learning from Purdue University in collaboration with IBM and Simplilearn. I look forward to career advancement and participation in solving industry-aligned Artificial Intelligence and Machine Learning problems.
My overall learning experience was very enriching. This program helped me gain knowledge in data science and I am now looking forward to grabbing a role in the IT sector. The course content was elaborate and the instructors were very knowledgeable and ready to help.
Simplilearn's AI program is not only easy to follow but the materials are organized. Even a beginner like me was able to grasp the concept and practice with real-world projects. I have grown my portfolio quite a bit since I joined Simplilearn. Their affordable fees was also a big bonus for me too.
After the completion of the course, I will be able to kickstart my career with the skills I am learning from this course. I am enjoying the hands-on experience with practice labs during the course. They are crucial for people like me with no experience. I found the instructors immensely knowledgeable and willing to help students.
Use data science techniques, like time series forecasting, to help a data analytics company forecast demand for different restaurant items.
Use exploratory data analysis and statistical techniques to understand the factors contributing to a retail firm's customer acquisition.
To understand their overall quality and sustainability, perform a feature analysis of water bottles using EDA and statistical techniques.
Use feature engineering to identify the top factors that influence price negotiations in the homebuying process.
Perform cluster analysis to create a recommended playlist of songs for users based on their user behavior.
Build a machine learning model that predicts employee attrition rate at a company by identifying patterns in their work habits and desire to stay with the company.
Use deep learning tools, such as CNN, to automate a system that detects and prevents faulty situations resulting from human error.
Use deep learning to construct a model that predicts potential loan defaulters and ensures secure and trustworthy lending opportunities for a financial institution.
Use distributed training to construct a CNN model capable of detecting diabetic retinopathy and deploy it using TensorFlow Serving for an accurate diagnosis.
Leverage deep learning algorithms to develop a facial recognition feature that helps diagnose patients for genetic disorders and their variations.
Examine accident data involving Tesla’s auto-pilot feature to assess the correlation between road safety and the use of auto-pilot technology.
Use AI to categorize images of historical structures and conduct EDA to build a recommendation engine that improves marketing initiatives for historic locations.
Courses focusing on artificial intelligence (AI) are the programs that help you learn about the entire AI environment. Such Ai and Ml courses are basically outlined at developed and novice levels and may be pursued at the student's convenience and against a particular enrolment cost. While not all the courses require you to learn Python, C++, or MATLAB, having some familiarity and background with these programming languages is worthwhile.
Due to the increased need for professionals with AI and machine learning skills, acquiring a certification in such domains might help open new doors for you. These Ai and Machine learning courses will sharpen your analytical thoughts, conceptualising techniques, and ability to analyze data. You will have all the intelligence and proficiency you need to succeed in this fast-paced industry if you have an AI and machine learning certification.Â
Given the growing complexity of the world's stats, AI and machine learning courses can ensure that ambitious professionals get prepared and qualified appropriately with the ability to confront issues in real life. Students may create a composite set of instructions for forecast models, deep neural networks, and other applications with AI and machine learning.Â
Moreover, such abilities may also lead to new possibilities in fields like marketing, real estate, banking, healthcare, and more that need a thorough grasp of AI and machine learning programs. Thus, if you need to keep one step ahead of the game this year, consider enrolling in AI and ml courses.
Programming, NPL, maths, coding, and CS, along with other areas, are all included in artificial intelligence. The programs on AI will go over noteworthy domains like;
Machine Learning (ML) - Â As a domain of Artificial intelligence, Machine learning allows computers to autonomously acquire knowledge through data while recognizing trends to develop forecasts with minimum human involvement.
Deep Learning - Deep learning acts exactly how specific knowledge is acquired by humans. It is possible to train deep learning models to classify data and find patterns in images, text, auditory, and other data.
Predictive Analysis - Predictive analytics, a subdivision of artificial intelligence, is a demographic-based technique utilized by data analysts to create inferences and test data to anticipate the chance of a specific forthcoming result.
Cloud Computing - AI cloud computing is integrated directly into the composition to automate repetitive tasks and organize work responsibilities. Private and non-private backend platforms may be observed, controlled, and self-repaired using AI techniques in a multi-cloud system.
Data management - Artificial intelligence is efficient enough to create records and automate inquiries via different data storage. Thus, by analyzing and developing real-time data, AI enhances cloud task loads like client relations, marketing, business planning software, and business logistics management.Â
A simple and flexible approach to advancing your understanding of artificial intelligence or developing new abilities is to enroll in online courses. Check out the advantages of seeking a profession in artificial intelligence;
Machine learning is expanding aggressively, yet there are not enough experts in the industry. A career in machine learning will be secure for you if you can match the expectations of big businesses by becoming an expert in the field.
Since AI and machine learning are in high demand, getting into the industry earlier will allow you to have hands-on experience with the latest trends and maintain an elevated level of marketability that will increase your worth to the company.
Your ability to solve problems methodically will improve by taking AI & machine learning courses. You will discover approaching and resolving complicated issues systematically with such programs.
The main reason AI & machine learning appears like rewarding job to many of you is the average income of a person in this career, which might go higher as time goes on, given the industry's growth.
Courses like ai & machine learning offered by the online learning platform Simplilearn provide in-depth topic expertise. Additionally, it gives several immeasurable benefits, including;
Engaging conversations in real time
Discover ChatGPT, OpenAI, and more well-known technologies.
Specialized hackathonsÂ
IBM's Q&A sessions
Experts in the field provide live online master courses
Certificate of Completion of the Programme
Top recruiting organizations will take notice of you, thanks to JobAssist.
Experiential, practical learning
There are considerable employment possibilities for students willing to enroll in online courses like ai & machine learning by Simplilearn at affordable fee structures. You must acknowledge the simple requirements, cost-effective fees, and durations for such programs.
Course Name |
Duration |
Course Fee |
Eligibility Requirements |
Artificial Intelligence for Decision Making: Business Applications And Strategies |
3 months |
INR 1,35,000 |
|
Professional Certificate In Artificial Intelligence And Machine Learning |
11 months |
INR 1,53,400 |
|
11 months |
INR 1,49,999 |
|
|
11 months |
INR 54000 |
Not Available |
You have no better reason than to obtain certificates from the International University Of Applied Science, IBM, IIT Kanpur, MIT, Wharton University of Pennsylvania, Purdue University, and Simplilearn upon acquiring ai and ml courses. These certifications will authenticate your expertise in artificial intelligence & machine learning and allow you to hold a prominent position in reference to job prospects.
If you sign up for AI & machine learning courses with the Simplilearn platform, you will gain access to a wide range of employment prospects. Take a look at some lucrative career paths and the incomes that go with them;
Career Path |
Average Annual Pay |
Big Data Analyst |
|
User Experience (UX) Designer/Developer |
|
Researcher |
|
Software Engineer |
|
Business Intelligence (BI) Developer |
|
Data Mining and Analysis |
|
Research Scientist |
|
Robotics Engineer |
|
Big Data Engineer/Architect |
|
Computer Vision Engineer |
Artificial intelligence (AI) refers to the development of computer systems that mimic a human brain and enable them to perform tasks that usually require human intelligence.
Machine learning is a specific form of AI that allows computers to learn and grow after they are introduced to scenarios in the form of data. Both of these areas offer promising career opportunities.
Here is the best foundation program in AI and Machine Learning for beginners:
Here are some of the best AI and Machine Learning programs for intermediates:
Here are some of the best advanced-level programs in AI and Machine Learning:
The AI job market is thriving and is estimated to hit $191 billion by 2024 globally. The growth of Artificial Intelligence could create 58 million jobs across multiple industry sectors in the next few years, according to a report by the World Economic Forum. AI is already being used in several markets and it makes sense to upskill and embark on a career in AI.Â
Some of the most popular job roles in the field of AI and Machine Learning include:Â
Professionals and students hoping to become AI Engineers should first start learning the basics of AI, statistical analysis, data modeling, and know at least one programming language such as Python or R. They should then move on to advanced areas like data analysis, data manipulation, Hadoop, and machine learning. Knowledge of deep learning and business intelligence tools like Tableau or Qlikview would further enhance your AI career.Â
Machine Learning Engineers have lucrative salary prospects globally, earning an average of $114,000 in the United States. With experience and in-depth knowledge, Machine Learning Engineers can earn as high as $150,000 per year.Â
Industrial sectors such as information technology, FinTech, healthcare, BFSI, and ecommerce are best suited for AI professionals.
Professionals skilled in AI and Machine Learning are highly sought after in a wide spectrum of companies, along with tech giants like Google, Accenture, IBM, Amazon, and Microsoft.Â
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